Sentence examples for a computation framework from inspiring English sources

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In this paper, a computation framework for addressing combined economic and emission dispatch (CEED) problem with valve-point effects as well as stochastic wind power considering unit commitment (UC) using a hybrid approach connecting sequential quadratic programming (SQP) and particle swarm optimization (PSO) is proposed.

The A* search algorithm is suitable for such a computation framework, as the amount of floating-point computation makes the data transfer overhead negligible.

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Bader and others at Georgia Tech have created a graph computation framework, called Stinger, that's optimized for supercomputers working with massive streaming graphs.

In this paper, we devise a novel computation framework which consists of three components, i.e., optimized line-of-sight algorithm, R*-tree filter and MapReduce-based segmented computation.

Ontologies and attribute-based models encode explicit human-readable knowledge, while word vector models offer a good computation framework based on vector spaces.

In a secure computation framework, parties have their own private input and are willing to evaluate a desired functionality f on their inputs without revealing any information except the outputs.

We implement CMA-ES using Distributed Evolutionary Algorithms in Python (DEAP) [20], which is an evolutionary computation framework.

In reference (Zhang et al. 2012), the authors further improve the performance of the algorithm by using an adaptive computation framework.

Using an approximate Bayesian computation framework, they surprisingly verified that a single or two discrete waves of migration from Asia would be highly inconsistent with the observed levels of genetic diversity.

In this work, we describe a new, efficient computation framework for evaluating the contributions of spatial organization to important cellular processes.

Progressively constrained dynamic optimization (PCDO), an initialization-based computation framework is proposed to ease the burdens of simultaneous computation methodologies when they are adopted to solve the MVMP problems.

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